Molecular and insecticidal characterization of Vip3A protein producing <i>Bacillus thuringiensis</i> strains toxic against <i>Helicoverpa armigera</i> (Lepidoptera: Noctuidae)
Bibliographic record
Abstract
Vegetative insecticidal proteins (Vip) represent the second generation of insecticidal proteins produced by Bacillus thuringiensis (Bt) during the vegetative growth stage of growth. Bt-based biopesticides are recognized as viable alternatives to chemical insecticides; the latter cause environmental pollution and lead to the emergence of pest resistance. To perform a systematic study of vip genes encoding toxic proteins, a total of 30 soil samples were collected from diverse locations of Kashmir valley, India, and characterized by molecular and analytical methods. Eighty-six colonies showing Bacillus-like morphology were selected. Scanning electron microscopy observations confirmed the presence of different crystal shapes, and PCR analysis of insecticidal genes revealed a predominance of the lepidopteran-specific vip3 (43.18%) gene followed by coleopteran-specific vip1 (22.72%) and vip2 (15.90%) genes in the isolates tested. Multi-alignment of the deduced amino acid sequences revealed that vip3 sequences were highly conserved, whereas vip1 and vip2 showed adequate differences in amino acid sequences compared with already reported sequences. Screening for toxicity against Helicoverpa armigera larvae was performed using partially purified soluble fractions containing Vip3A protein. The mortality levels observed ranged between 70% and 96.6% in the isolates. The LC50 values of 2 of the native isolates, JK37 and JK88, against H. armigera were found to be on par with that of Bt subsp. kurstaki HD1, suggesting that these isolates could be developed as effective biopesticides against H. armigera.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".